Back

Comparison of traditional versus artificial intelligence based coronary artery disease risk prediction scores in young patients with acute coronary syndrome

27 August 2021 (08:00 - 20:00)
Organised by:
Congress Presentation Part of: Risk Factors and Prevention ePosters Scores ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Doctor Shaweta Vohra

King George's Medical University, Lucknow (India)

224 More presentations in this session

Presentation thumbnail
High risk characteristics in patients with hypertrophic cardiomiyopathy for predicting cardiovascular events
Doctor B. Keskin Meric (London, GB)
Abstract Slides
Presentation thumbnail
Cardiac biomarkers as prognosticators among SARS-CoV-19 patients in a tertiary hospital in Philippines
Doctor R. Ong (Makati, PH)
Abstract Slides
Presentation thumbnail
Prevalence of atherosclerosis risk factors in Egyptian patients with acute coronary syndromes; final data of the nationwide cross-sectional CardioRisk project
Doctor A. Bendary (Benha, EG)
Abstract Slides
Presentation thumbnail
SF-12 Physical and Mental Health Scales predict cardiovascular events after hospitalization
Mr R. Gascuena (Leganes, ES)
Abstract Slides
Presentation thumbnail
Effect of physical activity on mortality and hospitalization for lower respiratory tract infection in patients with cardiovascular disease
Doctor M. Jung (Seoul, KR)
Abstract Slides

Access the full session

Session thumbnail
Risk Factors and Prevention ePosters

The Event

Event poster

ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET
You may be interested in
thumbnail
Webinar
Risk assessment and lipid management in primary prevention
thumbnail
Webinar
Update on dyslipidaemia management: focus on risk estimation and lipoprotein(a)
thumbnail
ESC TV Today
Episode 26: Lp(a): the future starts now - Myocardial infarction in older age and frailty

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources